Transcriptome of an organism provides insights into basic biological processes, detecting variations in gene expression after experimental treatments or infection, discovery of tissue biomarkers, genes and their isoforms among others. Next Generation Sequencing (NGS) platforms generate huge amount of RNA sequence data in a single run. NGS platforms are highly sensitive to detect low-frequency genes. They are cost effective and allow higher throughput with sample multiplexing. In order to assemble such a huge data generated after sequencing, efficient bioinformatics tools are needed. The transcriptome analysis is crucially reliant on the quality of the underlying assembly. Till date various tools have been developed for transcriptome assembly following different algorithms. In the present article, various tools used for transcriptome assembly have discussed in brief.